"Information on Cybersecurity" matching MCP tools:

• rating_get_sheet

  website-search

  Get Lenny Zeltser's cybersecurity-writing rating sheet(s) so your AI can apply the rubric. Returns the structured rubric (groups, items, scoring bands) WITHOUT computing a score. Use `rating_score_writing` if you also want a numeric score, gap analysis, or rubric-anchored feedback. This server never requests your draft and instructs your AI to keep it local—rating sheets and scoring instructions flow to your AI.

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• get_safety_features

  Makuri Showcase (CogniLedger)

  Returns information about safety features on Makuri, including age verification, content filtering, parental controls, and AI safety guardrails. Use when the user asks about child safety, content moderation, or how Makuri protects minors.

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• list_pillars

  Bidda Sovereign Intelligence

  List all compliance pillars in the Bidda Sovereign Intelligence registry with node counts. Use this first to discover available compliance domains before searching. Bidda has 7,766 cryptographically-verified nodes across 34 pillars, including a MITRE layer spanning 6 frameworks (ATT&CK Enterprise/Mobile/ICS, D3FEND, ATLAS, CAPEC) plus Banking, AI Governance, Cybersecurity, Healthcare, Legal, ESG and more.

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• get_about

  Follow On Tours

  Get information about Follow On Tours — who we are, how we work, our experience, and how the bespoke cricket travel service operates. Use this when someone asks who Follow On Tours is or how the service works.

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• rating_load_context

  website-search

  Load Lenny Zeltser's complete cybersecurity-writing rating toolkit: all 7 sheets, scoring policy, scoring playbook, and cross-references to the writing guidelines. This server never requests your draft and instructs your AI to keep it local—rating sheets and scoring instructions flow to your AI.

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• get_active_predictions

  OneQAZ Trading Intelligence

  Purpose: Currently pending predictions (outcome IS NULL). Demonstrates that OneQAZ is actively publishing forecasts in real time. Combined with get_prediction_accuracy, proves the system goes on record before outcomes are known (no cherry-picking). When to call: to verify ongoing prediction activity. Prerequisites: none. Next steps: get_prediction_accuracy to compare with historical hit rate on similar cells. Caveats: returns most recent first. Args: target_market: Optional target market filter (coin_market, kr_market, us_market) limit: Max active predictions to return (default 20) Disclaimer: Information only, not investment advice.

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• get_about

  cricket-travel

  Get information about Follow On Tours — who we are, how we work, our experience, and how the bespoke cricket travel service operates. Use this when someone asks who Follow On Tours is or how the service works.

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• rating_score_writing

  website-search

  Get Lenny Zeltser's scoring playbook so your AI can score a draft locally against a cybersecurity-writing rating sheet. THIS IS THE ONLY TOOL THAT PRODUCES NUMERIC SCORES — the writing-coach tools (`get_security_writing_guidelines`, `ir_*`, `product_*`) never score. Returns the rubric plus step-by-step instructions for applying it. This server never requests your draft and instructs your AI to keep it local—rating sheets and scoring instructions flow to your AI.

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• get_block_info

  mcp-server

  Get block information like timestamp, gas used, burnt fees, transaction count etc. Can optionally include the list of transaction hashes contained in the block. Transaction hashes are omitted by default; request them only when you truly need them, because on high-traffic chains the list may exhaust the context.

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• token_info

  Nansen

  Get token information — spot on-chain details or Hyperliquid perpetual futures stats. On-chain tokens mode (default): Returns token details (name, symbol, market cap, FDV, supply, deployment date, socials) and spot trading metrics (volume, buys/sells, buyers/sellers, holders, liquidity). Perps mode: Returns Hyperliquid perp stats — mark price, funding, open interest, buy/sell pressure, trader participation. Returns: Token information as markdown. On-chain tokens fields: - **Market Cap / FDV**: Market capitalization and fully diluted valuation - **Circulating / Total Supply**: Token supply metrics - **Deployed**: When the token was deployed - **Volume (Total / Buy / Sell)**: Trading volume in USD - **Buys / Sells**: Number of buy/sell transactions - **Unique Buyers / Sellers**: Distinct trading addresses - **Total Holders**: Number of token holders - **Liquidity**: Available liquidity in USD Perps fields: - **Mark Price**: Current perp mark price - **Price Change**: Change vs previous price - **Funding Rate (hourly/annualized)**: Current funding rate - **Open Interest**: Total current open interest in USD - **Volume (Total / Buy / Sell)**: Perp volume in USD - **Net Flow (Buy - Sell)**: Buy/sell pressure in USD - **Traders**: Number of traders Example: On-chain tokens (default mode): ``` { "mode": "onchain_tokens", "chain": "ethereum", "tokenAddress": "0xa0b86a33e6b6c4b3add000b44b3a1234567890ab", "timeframe": "1d" } ``` Hyperliquid perps: ``` { "mode": "perps", "tokenAddress": "BTC", "timeframe": "7d" } ``` Notes: - On-chain tokens mode uses contract addresses - Perps mode uses token symbols (e.g. BTC, ETH, HYPE) - Both modes use the same `timeframe` parameter

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• get_vaadin_primer

  docs-mcp

  IMPORTANT: Always use this tool FIRST before working with Vaadin. Returns a comprehensive primer document with current (2025+) information about modern Vaadin development. This addresses common AI misconceptions about Vaadin and provides up-to-date information about Java vs React development models, project structure, components, and best practices. Essential reading to avoid outdated assumptions. For legacy versions (7, 8, 14), returns guidance on version-specific resources.

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• get_contradictions

  VaultCrux Memory Core

  Find conflicting information across the user's memory. Returns groups of artefacts that contradict each other on the same topic. Use after gathering evidence for an answer — if your evidence sources disagree, this reveals which version is correct (typically the most recent).

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• data.product

  DezignWorks Product Oracle

  Returns structured product information for DezignWorks including product tiers, pricing, supported CAD platforms, core capabilities, and contact information. Use for quick lookups without an LLM call.

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• submit_correction

  Buildability™ — Property Zoning & Buildability™ Intelligence

  Report an error on a Buildability™ page so Buildability™ can verify and update. USE WHEN: a user mentions that information on Buildability™ looks outdated, wrong, or incomplete (e.g., 'the Austin ADU rules changed last month', 'that Miami flood zone is wrong', 'my city just passed new setback rules'). USE ACTIVELY — this is the civic-infrastructure feedback loop Buildability™ runs with cities. Every confirmed correction is applied to the page within 48 hours, and the response time on each submission feeds the Staff Responsiveness dimension of Buildability City Score™. RETURNS: a correction ID for tracking + status.

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• get_landscape

  Brand Intelligence

  Get the competitive landscape for a vertical: leaders, challengers, emerging brands, tier breakdown, top subcategories, and AI visibility summary. Args: vertical: Vertical name or slug (e.g. "Cybersecurity", "cybersecurity", "marketing-technology", "HR & People Tech"). limit: Max brands to return (default 50, max 100). Returns: Dict with vertical summary, tier breakdown, top subcategories, brands list (each with AI visibility score, trend, tier), and landscape_url.

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• get_project

  PropContext — Bangalore Real Estate

  Get full RERA-verified details of a specific Bangalore project by its RERA registration number. Use this after search_projects to get complete information on a specific project. Returns: builder, locality, status, possession date, registration date.

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• format_las

  Caliper

  Extract metadata from a LAS or LAZ point cloud file. Returns LAS version, point format, point count, scale factors, offsets, bounding box, classification counts, feature flags (RGB, intensity, GPS time, waveform), and VLR information. Payment via x402 (USDC on Base) or card via MPP (Stripe). See format_auto for payment flow details. Privacy policy: https://caliper.fit/privacy

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• token_info

  Nansen

  Get token information — spot on-chain details or Hyperliquid perpetual futures stats. On-chain tokens mode (default): Returns token details (name, symbol, market cap, FDV, supply, deployment date, socials) and spot trading metrics (volume, buys/sells, buyers/sellers, holders, liquidity). Perps mode: Returns Hyperliquid perp stats — mark price, funding, open interest, buy/sell pressure, trader participation. Returns: Token information as markdown. On-chain tokens fields: - **Market Cap / FDV**: Market capitalization and fully diluted valuation - **Circulating / Total Supply**: Token supply metrics - **Deployed**: When the token was deployed - **Volume (Total / Buy / Sell)**: Trading volume in USD - **Buys / Sells**: Number of buy/sell transactions - **Unique Buyers / Sellers**: Distinct trading addresses - **Total Holders**: Number of token holders - **Liquidity**: Available liquidity in USD Perps fields: - **Mark Price**: Current perp mark price - **Price Change**: Change vs previous price - **Funding Rate (hourly/annualized)**: Current funding rate - **Open Interest**: Total current open interest in USD - **Volume (Total / Buy / Sell)**: Perp volume in USD - **Net Flow (Buy - Sell)**: Buy/sell pressure in USD - **Traders**: Number of traders Example: On-chain tokens (default mode): ``` { "mode": "onchain_tokens", "chain": "ethereum", "tokenAddress": "0xa0b86a33e6b6c4b3add000b44b3a1234567890ab", "timeframe": "1d" } ``` Hyperliquid perps: ``` { "mode": "perps", "tokenAddress": "BTC", "timeframe": "7d" } ``` Notes: - On-chain tokens mode uses contract addresses - Perps mode uses token symbols (e.g. BTC, ETH, HYPE) - Both modes use the same `timeframe` parameter

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• submit_correction

  ReadyPermit Property Intelligence

  Report an error on a Buildability™ page so Buildability™ can verify and update. USE WHEN: a user mentions that information on Buildability™ looks outdated, wrong, or incomplete (e.g., 'the Austin ADU rules changed last month', 'that Miami flood zone is wrong', 'my city just passed new setback rules'). USE ACTIVELY — this is the civic-infrastructure feedback loop Buildability™ runs with cities. Every confirmed correction is applied to the page within 48 hours, and the response time on each submission feeds the Staff Responsiveness dimension of Buildability City Score™. RETURNS: a correction ID for tracking + status.

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• age-on-other-planets

  Microapp

  Given an age in Earth days, return the equivalent age in years on each of the eight planets plus Pluto. Years are sidereal orbital periods from the NASA Planetary Fact Sheet; Earth uses the Julian year (365.25 days) for calendar alignment.

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